We present a detailed analysis of a graph-
based annotation strategy that we employed
to annotate a corpus of 11,292 real-world En-
glish to Spanish automatic translations with
relative (ranking) and absolute ...

Error analysis in machine translation is a necessary step in order to investigate the strengths and weaknesses of the MT systems under development and allow fair comparisons among them. This work presents an application ...

This work presents a HMT system for patent translation. The system exploits the high coverage of SMT and the high precision of an RBMT system based on GF to deal with specific issues of the language.
The translator is ...

This paper presents a proposal for wide--coverage Named Entity Recognition for Spanish. First, a linguistic description of the typology of Named Entities is proposed. Following this definition an architecture of sequential ...

We present a system developed for the
CoNLL-2009 Shared Task (Hajic et al., 2009).
We extend the Carreras (2007) parser to
jointly annotate syntactic and semantic dependencies.
This state-of-the-art parser factorizes
the ...

In this paper we apply Schapire and Singer's AdaBoost.MH boosting algorithm to the Word Sense Disambiguation (WSD)
problem. Initial experiments on a set of 15 selected polysemous words show that the boosting approach ...

In this work, a set of comparative experiments for the
problem of automatically filtering unwanted electronic mail
messages are performed on two public corpora: PU1 and
LingSpam. Several variants of the AdaBoost algorithm ...

Software localization requires translating
short text strings appearing in user interfaces (UI) into several languages. These
strings are usually unrelated to the other
strings in the UI. Due to the lack of semantic ...

The process of developing hybrid MT systems
is guided by the evaluation method used to
compare different combinations of basic subsystems.
This work presents a deep evaluation
experiment of a hybrid architecture ...

The process of developing hybrid MT systems is usually guided by an evaluation method used to compare different combinations of basic subsystems. This work presents a deep evaluation experiment of a hybrid architecture, ...

Written Arabic is a especially ambiguous due to the lack of diacritisation of texts, and this makes the translation harder for automatic systems that do not take into account the context of phrases. Here, we use a standard ...

Most of the current Machine Translation systems are designed to translate a document sentence by sentence ignoring discourse information and producing incoherencies in the final translations. In this paper we present some ...

An experimental comparison among Support Vector Machines, AdaBoost and a recently proposed model for maximizing the margin with
Feed-forward Neural Networks has been made on a real-world classification problem, namely ...

This paper presents a machine translation architecture which hybridizes Matxin, a rulebased system, with regular phrase-based Statistical Machine Translation. In short, the hybrid translation process is guided by the ...

This paper describes the UPC submissions to the WMT14 Metrics Shared Task : UPC-IPA and UPC-STOUT. These metrics use a collection of evaluation measures integrated in ASIYA, a toolkit for machine translation evaluation. ...